Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
- ai-text-detection
- explainable-ai
- interpretability
- mechanistic-interpretability
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Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
🧱 Experimental library for building inference engines
Run models larger than your RAM or VRAM by streaming MoE experts from SSD. Built on llama.cpp.
UCE is a zero-shot foundation model for single-cell gene expression data
C++/CUDA single-GPU inference engine for Qwen3.8 (incl. Qwen3.8-Flash-Next with offloaded experts) on the RTX 5090; grew from NInfer
A ChatGPT, Gemini, Claude, and Ollama(offline) plug-in for Embarcadero RAD Studio IDE XE5 to 12.1
Can AI agents rebuild websites through browser exploration?
Pure-Rust inference engine for Qwen GGUF models (Qwen3 to Qwen3.8, dense and MoE up to 770B+). CUDA and Vulkan (NVIDIA, AMD), hybrid CPU+GPU experts, MTP speculative decoding, OpenAI and Anthropic compatible server. Up to ~1.7x llama.cpp decode on a 12 GB RTX 3060.
PROMETHEVS: run the full DeepSeek-V4.1-Flash-1017 (510 GB) on a gaming PC with 64 GB RAM and a 12 GB GPU. PROMETHEVS engine (compress-then-correct), OpenAI-compatible local server, report and logs.
A browser bookmarklet for exporting conversations with ChatGPT as markdown files.
Research experiments exploring uncommon quant techniques.
Lightweight Go SDK for Yandex Messenger Bot API — type-safe client with retry, rate-limit handling, and service-oriented architecture